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Employer
- Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH
- Computer Vision Center
- Institute for bioengineering of Catalonia, IBEC
- Fundació per a la Universitat Oberta de Catalunya
- Institut d’Investigació Biomèdica de Girona Dr. Josep Trueta (IDIBGI-CERCA)
- Institute of Photonic Sciences
- UNIVERSIDAD POLITECNICA DE MADRID
- Universitat Rovira i Virgili
- Universitat de Barcelona
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Field
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development of explainable and interpretable classical and quantum deep learning algorithms - Design and development of hackathons and other collaborative methodologies to promote the control of artificial
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vision research. The position is for 3 years, starting ASAP, focused on ‘Quantum Machine Learning’, with the objective of investigating hybrid classical-quantum and quantum inspired algorithms. The tasks
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practical knowledge of statistical and programming packages is mandatory, including R, Python, and/or SQL. Extensive experience with advanced statistical techniques and algorithms, such as Machine Learning
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analysis, computer vision, or machine learning, with a clear interest in developing image analysis algorithms and an affinity with medical topics. Good communication and organizational skills are essential
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fabrication of polymersomes and other functional vesicles with high reproducibility, tunable size distributions and tailored membrane architecture. Emphasis will be placed on developing compartmentalized
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be distributed as follows: 1 point for required speciality. 2 points for required academic training. 2 points for technic competences. 1 point for organisational competences. 3 points for professional
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. Threshold: 5 points. The maximum score (10 points) will be distributed as follows: 1 point for required speciality. 2 points for required academic training. 2 points for technic competences. 1 point
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, and traceability in accordance with the GDPR and the EU AI Act. Integrate predictive virtual biopsy models in distributed environments. Lead pilot experiments and monitor the convergence of federated
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score (10 points) will be distributed as follows: 1 point for required speciality. 2 points for required academic training. 2 points for technic competences. 1 point for organisational competences. 3
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environment. The successful candidate will join the international project “Photonics for Quantum (P4Q)”. P4Q will establish a distributed, pan-European infrastructure for manufacturing high-performance photonic